If Nvidia’s Datacenter business unit was a startup and separate from the company, we would all be talking about the long investment it has made in GPU-based computing and how the company has moved from the blade of the hockey stick and rounded the bend and is moving rapidly up the handle with triple-digit revenue growth and an initial public offering on the horizon. …
We spend a lot of time contemplating what technologies will be deployed at the heart of servers, storage, and networks and thereby form the foundation of the next successive generations of platforms in the datacenter for running applications old and new. …
When it comes to supercomputing, you don’t only have to strike while the iron is hot, you have to spend while the money is available. …
Over the last year in particular, we have documented the merger between high performance computing and deep learning and its various shared hardware and software ties. …
In Supercomputing Conference (SC) years past, chipmaker Intel has always come forth with a strong story, either as an enabling processor or co-processor force, or more recently, as a prime contractor for a leading-class national lab supercomputer. …
Deep learning and machine learning are major themes at this year’s annual Supercomputing Conference (SC16), both in terms of vendors showcasing systems that are a fit for both high performance computing and machine learning, and in the revelation of new efforts to combine traditional simulations with neural networks for greater efficiency and insight. …
Not all of the new and interesting high performance computing systems are always in the upper echelons of the Top 500 supercomputing list, which was announced at the opening of the SC16 supercomputing conference in Salt Lake City this week. …
Over the course of the last five years, GPU computing has featured prominently in supercomputing as an accelerator on some of the world’s fastest machines. …
Chip maker Nvidia was founded by people who loved gaming and who wanted to make better 3D graphics cards, and decades later, the company has become a force in computing, first in HPC and then in machine learning and now database acceleration. …
In many ways, enterprises and hyperscalers have it easy. Very quickly in the wake of its announcement more than two decades ago, the Java programming language, a kind of virtualized C++, became the de facto standard for coding enterprise applications that run the business. …
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